1.Research progress of nano drug delivery system based on metal-polyphenol network for the diagnosis and treatment of inflammatory diseases
Meng-jie ZHAO ; Xia-li ZHU ; Yi-jing LI ; Zi-ang WANG ; Yun-long ZHAO ; Gao-jian WEI ; Yu CHEN ; Sheng-nan HUANG
Acta Pharmaceutica Sinica 2025;60(2):323-336
Inflammatory diseases (IDs) are a general term of diseases characterized by chronic inflammation as the primary pathogenetic mechanism, which seriously affect the quality of patient′s life and cause significant social and medical burden. Current drugs for IDs include nonsteroidal anti-inflammatory drugs, corticosteroids, immunomodulators, biologics, and antioxidants, but these drugs may cause gastrointestinal side effects, induce or worsen infections, and cause non-response or intolerance. Given the outstanding performance of metal polyphenol network (MPN) in the fields of drug delivery, biomedical imaging, and catalytic therapy, its application in the diagnosis and treatment of IDs has attracted much attention and significant progress has been made. In this paper, we first provide an overview of the types of IDs and their generating mechanisms, then sort out and summarize the different forms of MPN in recent years, and finally discuss in detail the characteristics of MPN and their latest research progress in the diagnosis and treatment of IDs. This research may provide useful references for scientific research and clinical practice in the related fields.
2.Effects of honey-processed Astragalus on energy metabolism and polarization of RAW264.7 cells
Hong-chang LI ; Ke PEI ; Wang-yang XIE ; Xiang-long MENG ; Zi-han YU ; Wen-ling LI ; Hao CAI
Acta Pharmaceutica Sinica 2025;60(2):459-470
In this study, RAW264.7 cells were employed to investigate the effects of honey-processed
3.Five new triterpenoid saponins from the kernels of Momordica cochinchinensis
Ru DING ; Jia-qi WANG ; Yi-yang LUO ; Yong-long HAN ; Xiao-bo LI ; Meng-yue WANG
Acta Pharmaceutica Sinica 2025;60(2):442-448
Five saponins were isolated from the kernels of
4.Clinical application of an artificial intelligence system in predicting benign or malignant pulmonary nodules and pathological subtypes
Zhuowen YANG ; Zhizhong ZHENG ; Bin LI ; Yiming HUI ; Mingzhi LIN ; Jiying DANG ; Suiyang LI ; Chunjiao ZHANG ; Long YANG ; Liang SI ; Tieniu SONG ; Yuqi MENG
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2025;32(08):1086-1095
Objective To evaluate the predictive ability and clinical application value of artificial intelligence (AI) systems in the benign and malignant differentiation and pathological type of pulmonary nodules, and to summarize clinical application experience. Methods A retrospective analysis was conducted on the clinical data of patients with pulmonary nodules admitted to the Department of Thoracic Surgery, Second Hospital of Lanzhou University, from February 2016 to February 2025. Firstly, pulmonary nodules were divided into benign and non-benign groups, and the discriminative abilities of AI systems and clinicians were compared. Subsequently, lung nodules reported as precursor glandular lesions (PGL), microinvasive adenocarcinoma (MIA), and invasive adenocarcinoma (IAC) in postoperative pathological results were analyzed, comparing the efficacy of AI systems and clinicians in predicting the pathological type of pulmonary nodules. Results In the analysis of benign/non-benign pulmonary nodules, clinical data from a total of 638 patients with pulmonary nodules were included, of which there were 257 males (10 patients and 1 patient of double and triple primary lesions, respectively) and 381 females (18 patients and 1 patient of double and triple primary lesions, respectively), with a median age of 55.0 (47.0, 61.0) years. Different lesions in the same patient were analyzed as independent samples. Univariate analysis of the two groups of variables showed that, except for nodule location, the differences in the remaining variables were statistically significant (P<0.05). Multivariate logistic regression analysis showed that age, nodule type (subsolid pulmonary nodule), average density, spicule sign, and vascular convergence sign were independent influencing factors for non-benign pulmonary nodules, among which age, nodule type (subsolid pulmonary nodule), spicule sign, and vascular convergence sign were positively correlated with non-benign pulmonary nodules, while average density was negatively correlated with the occurrence of non-benign pulmonary nodules. The area under the receiver operating characteristic curve (AUC) of the malignancy risk value given by the AI system in predicting non-benign pulmonary nodules was 0.811, slightly lower than the 0.898 predicted by clinicians. In the PGL/MIA/IAC analysis, clinical data from a total of 411 patients with pulmonary nodules were included, of which there were 149 males (8 patients of double primary lesions) and 262 females (17 patients of double primary lesions), with a median age of 56.0 (50.0, 61.0) years. Different lesions in the same patient were analyzed as independent samples. Univariate analysis results showed that, except for gender, nodule location, and vascular convergence sign, the differences in the remaining variables among the three groups of PGL, MIA, and IAC patients were statistically significant (P<0.05). Multinomial multivariate logistic regression analysis showed that the differences between the parameters in the PGL group and the MIA group were not statistically significant (P>0.05), and the maximum diameter and average density of the nodules were statistically different between the PGL and IAC groups (P<0.05), and were positively correlated with the occurrence of IAC as independent risk factors. The average AUC value, accuracy, recall rate, and F1 score of the AI system in predicting lung nodule pathological type were 0.807, 74.3%, 73.2%, and 68.5%, respectively, all better than the clinical physicians’ prediction of lung nodule pathological type indicators (0.782, 70.9%, 66.2%, and 63.7% respectively). The AUC value of the AI system in predicting IAC was 0.853, and the sensitivity, specificity, and optimal cutoff value were 0.643, 0.943, and 50.0%, respectively. Conclusion This AI system has demonstrated high clinical value in predicting the benign and malignant nature and pathological type of lung nodules, especially in predicting lung nodule pathological type, its ability has surpassed that of clinical physicians. With the optimization of algorithms and the adequate integration of multimodal data, it can better assist clinical physicians in formulating individualized diagnostic and treatment plans for patients with lung nodules.
5.Genetic and clinical characteristics of children with RAS-mutated juvenile myelomonocytic leukemia.
Yun-Long CHEN ; Xing-Chen WANG ; Chen-Meng LIU ; Tian-Yuan HU ; Jing-Liao ZHANG ; Fang LIU ; Li ZHANG ; Xiao-Juan CHEN ; Ye GUO ; Yao ZOU ; Yu-Mei CHEN ; Ying-Chi ZHANG ; Xiao-Fan ZHU ; Wen-Yu YANG
Chinese Journal of Contemporary Pediatrics 2025;27(5):548-554
OBJECTIVES:
To investigate the genomic characteristics and prognostic factors of juvenile myelomonocytic leukemia (JMML) with RAS mutations.
METHODS:
A retrospective analysis was conducted on the clinical data of JMML children with RAS mutations treated at the Hematology Hospital of Chinese Academy of Medical Sciences, from January 2008 to November 2022.
RESULTS:
A total of 34 children were included, with 17 cases (50%) having isolated NRAS mutations, 9 cases (27%) having isolated KRAS mutations, and 8 cases (24%) having compound mutations. Compared to children with isolated NRAS mutations, those with NRAS compound mutations showed statistically significant differences in age at onset, platelet count, and fetal hemoglobin proportion (P<0.05). Cox proportional hazards regression model analysis revealed that hematopoietic stem cell transplantation (HSCT) and hepatomegaly (≥2 cm below the costal margin) were factors affecting the survival rate of JMML children with RAS mutations (P<0.05); hepatomegaly was a factor affecting survival in the non-HSCT group (P<0.05).
CONCLUSIONS
Children with NRAS compound mutations have a later onset age compared to those with isolated NRAS mutations. At initial diagnosis, children with NRAS compound mutations have poorer peripheral platelet and fetal hemoglobin levels than those with isolated NRAS mutations. Liver size at initial diagnosis is related to the prognosis of JMML children with RAS mutations. HSCT can improve the prognosis of JMML children with RAS mutations.
Humans
;
Leukemia, Myelomonocytic, Juvenile/therapy*
;
Mutation
;
Male
;
Female
;
Child, Preschool
;
Retrospective Studies
;
Child
;
Infant
;
GTP Phosphohydrolases/genetics*
;
Membrane Proteins/genetics*
;
Adolescent
;
Hematopoietic Stem Cell Transplantation
;
Proportional Hazards Models
;
Proto-Oncogene Proteins p21(ras)/genetics*
;
Prognosis
6.Study on the Influencing Factors of Donation Related Vasovagal Reaction Based on Association Rule Analysis.
Li-Ning MENG ; Qi YANG ; Long TIAN
Journal of Experimental Hematology 2025;33(1):230-235
OBJECTIVE:
To evaluate the clinical value of association rule analysis for influencing factors of donation related vasovagal reaction (DRVR), using Logistic regression analysis as the reference.
METHODS:
A retrospective study was conducted on 10 000 unpaid blood donors from Zhangjiakou Central Blood Station from June 2019 to June 2021. Their baseline data was collected. Blood donors were divided into the test group with DRVR (n=386) and the control group without DRVR (n=9614). Logistic regression analysis was performed on all blood donors. The independent risk factor prediction was established for DRVR. Association rule analysis was performed on the test group. The effective strong association rules including DRVR were calculated. Taking Logistic regression analysis prediction as the reference, the results of association rule analysis were evaluated.
RESULTS:
The logistic regression analysis prediction showed that "age (20-29 years old)", "gender (female)", "BMI (≤18 kg/m2)", "blood pressure (low)", and "hemoglobin level (low)" were the independent risk factors for DRVR (all P < 0.05). There were 8 effective strong association rules including DRVR in total: The two-item rules were "age (20-29 years old), DRVR", "gender (female), DRVR", "BMI (≤18 kg/m2), DRVR", "blood pressure (low), DRVR", "hemoglobin level (low), DRVR". The three-item rules were "age (20-29 years old), gender (female), DRVR", "BMI (≤18 kg/m2), blood pressure (low), DRVR", "BMI (≤18 kg/m2), blood donation volume (400 mL), and DRVR". The results of the two rules in association rule analysis included all independent risk factors leading to DRVR and similar incidence rate change of DRVR. The results of the three rules had determined the range of high-risk groups for DRVR.
CONCLUSION
Compared to the Logistic regressive analysis, the results of association rule analysis have more clinical value, which provide a method reference for further improving the accuracy of DRVR prediction.
Humans
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Blood Donors
;
Retrospective Studies
;
Syncope, Vasovagal/etiology*
;
Adult
;
Female
;
Male
;
Risk Factors
;
Logistic Models
;
Young Adult
;
Blood Pressure
7.Microneedle-facilitated Portulaca oleracea L.-derived nanovesicles ameliorate atopic dermatitis by modulating macrophage M1/M2 polarization and inhibiting NF-κB and STING signaling pathways.
Meng LONG ; Jiaqi LI ; Yuecheng ZHU ; Hang RUAN ; Jing LI ; Fanjun XU ; Ruipeng LIU ; Tao YANG ; Yanqin SHI ; Nianping FENG ; Yongtai ZHANG
Acta Pharmaceutica Sinica B 2025;15(11):5966-5987
Clinical management of atopic dermatitis (AD) is challenged by its susceptibility to recurrence, side effects, and high costs. We found that Portulaca oleracea L.-derived nanovesicles (PDNV) exert anti-inflammatory effects by modulating macrophage M1/M2 polarization. These effects were achieved through pathways including inhibition of nuclear factor-κB (NF-κB) and stimulator of interferon genes (STING) protein expression in diseased tissues, demonstrating their potential to ameliorate AD symptoms. To increase the transdermal permeation of PDNV, dissolvable microneedles composed primarily of hyaluronic acid (HA) were developed as an adjunctive means of delivery. Meanwhile, polysaccharides of Portulaca oleracea L., which were synergistic with PDNV, were used as microneedle constituent materials to enhance the mechanical properties and physical stability of HA. This new means of delivery significantly improves the treatment of AD and also provides new options for the efficient utilization of plant extracellular vesicles and the treatment of AD. In addition, transcriptomic analysis of PDNV showed that the mRNAs of Portulaca oleracea L. are closest to those of ferns, which may shed light on related evolutionary and plant species identification studies.
8.Causal Associations between Particulate Matter 2.5 (PM 2.5), PM 2.5 Absorbance, and Inflammatory Bowel Disease Risk: Evidence from a Two-Sample Mendelian Randomization Study.
Xu ZHANG ; Zhi Meng WU ; Lu ZHANG ; Bing Long XIN ; Xiang Rui WANG ; Xin Lan LU ; Gui Fang LU ; Mu Dan REN ; Shui Xiang HE ; Ya Rui LI
Biomedical and Environmental Sciences 2025;38(2):167-177
OBJECTIVE:
Several epidemiological observational studies have related particulate matter (PM) exposure to Inflammatory bowel disease (IBD), but many confounding factors make it difficult to draw causal links from observational studies. The objective of this study was to explore the causal association between PM 2.5 exposure, its absorbance, and IBD.
METHODS:
We assessed the association of PM 2.5 and PM 2.5 absorbance with the two primary forms of IBD (Crohn's disease [CD] and ulcerative colitis [UC]) using Mendelian randomization (MR) to explore the causal relationship. We conducted two-sample MR analyses with aggregated data from the UK Biobank genome-wide association study. Single-nucleotide polymorphisms linked with PM 2.5 concentrations or their absorbance were used as instrumental variables (IVs). We used inverse variance weighting (IVW) as the primary analytical approach and four other standard methods as supplementary analyses for quality control.
RESULTS:
The results of MR demonstrated that PM 2.5 had an adverse influence on UC risk (odds ratio [ OR] = 1.010; 95% confidence interval [ CI] = 1.001-1.019, P = 0.020). Meanwhile, the results of IVW showed that PM 2.5 absorbance was also causally associated with UC ( OR = 1.012; 95% CI = 1.004-1.019, P = 0.002). We observed no causal relationship between PM 2.5, PM 2.5 absorbance, and CD. The results of sensitivity analysis indicated the absence of heterogeneity or pleiotropy, ensuring the reliability of MR results.
CONCLUSION
Based on two-sample MR analyses, there are potential positive causal relationships between PM 2.5, PM 2.5 absorbance, and UC.
Humans
;
Mendelian Randomization Analysis
;
Particulate Matter/analysis*
;
Polymorphism, Single Nucleotide
;
Inflammatory Bowel Diseases/genetics*
;
Air Pollutants/analysis*
;
Crohn Disease/genetics*
;
Colitis, Ulcerative/genetics*
;
Genome-Wide Association Study
;
Risk Factors
;
Environmental Exposure
9.Circ_DCAF6 affects the proliferation,migration and apop-tosis of cisplatin-resistant colorectal cancer cells by regulat-ing the miR-485-3p/FOXK1 axis
Long-Jun SUN ; Meng-Sen LI ; Wei JING
Chinese Journal of Current Advances in General Surgery 2024;27(2):105-110
Objective:To investigate the effect of circ_DCAF6 on the proliferation,migration and apoptosis of colorectal cancer cells resistant to cisplatin(DDP)and its possible mechanism.Methods:SW480 and DDP-resistant cells SW480/DDP were cultured in vitro.The expression of circ_DCAF6 and miR-485-3p in the cells was detected by RT-qPCR,and the expression of FOXK1 protein was detected by Western blotting.After si-NC,si-circ_DCAF6,miR-NC,or miR-485-3p was transfected into SW480/DDP cells,or si-circ_DCAF6 and anti-miR-485-3p were co-trans-fected into SW480/DDP cells,respectively,CCK-8 method was used to detect the effect of DDP at different concentrations(0,0.156,0.625,2.5,10,40,160 p g/mL)on the 24 h survival rate of trans-fected cells,and the half inhibitory concentration(IC50 value)was calculated;Cell migration and apoptosis were detected and the regulatory relationship between circ_DCAF6,miR-485-3p and FOXK1 was verified.Results:Compared with SW480 cells,circ_DCAF6 and FOXK1 protein ex-pressions were increased in SW480/DDP cells,while miR-485-3p expression was decreased(P<0.05).Silencing circ_DCAF6 or overexpression of miR-485-3p inhibited the proliferation and mi-gration of SW480/DDP cells and the expression of FOXK1 protein,increased the sensitivity of SW480/DDP cells to DDP,and promoted cell apoptosis(P<0.05).Knockdown of miR-485-3p atten-uated the effects of circ_DCAF6 silencing on the malignant phenotype of SW480/DDP cells.circ_DCAF6 could target miR-485-3p;FOXK1 was the target gene of miR-485-3p.Conclusion:Silencing circ_DCAF6 could inhibit the proliferation and migration of SW480/DDP cells and promote cell apoptosis.Its mechanism of action is related to the regulation of miR-485-3p/FOXK1 axis.
10.The antitumor activity and mechanisms of piperlongumine derivative C12 on human non-small cell lung cancer H1299 cells
Hai-tao LONG ; Xue LEI ; Jia-yi CHEN ; Jiao MENG ; Li-hui SHAO ; Zhu-rui LI ; Dan-ping CHEN ; Zhen-chao WANG ; Yue ZHOU ; Cheng-peng LI
Acta Pharmaceutica Sinica 2024;59(10):2773-2781
The compound (

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